lesson
The Binomial Model: Conditions and Assumptions
Identify when a real-world scenario can be modelled by B(n, p), verifying fixed trials, constant probability, two outcomes, and independence.
Updated 2 months ago · 2 views
Premium Lesson
This lesson is part of a track
Public learning track
Discrete Random Variables and the Binomial Distribution
8 lessons
Goal
Model discrete events with probability distribution tables, understand Binomial distribution conditions, and compute exact and cumulative probabilities.
8 lessons
0 of 8 done
- Discrete Probability Distributions and Mass FunctionsUp next
- The Discrete Uniform DistributionNot started yet
- The Binomial Model: Conditions and AssumptionsYou are here
- Calculating Exact Binomial Probabilities Using the FormulaNot started yet
- Cumulative Binomial Probabilities with Calculators and TablesNot started yet
- Solving Contextual Word Problems with the Binomial DistributionNot started yet
- Recognising When the Binomial Model Does Not ApplyNot started yet
- Selecting and Justifying Discrete Probability ModelsNot started yet
Learning standards covered
N1General Certificate of Education Advanced Level (UK A-Level) · Maths · 11th Grade[Understand and use simple, discrete probability distributions (calculation of mean and variance of discrete random variables is excluded), including the binomial distribution, as a model; calculate probabilities using the binomial distribution]
Open Global Standard:OGM.13.PRB.3
N3General Certificate of Education Advanced Level (UK A-Level) · Maths · 11th GradeSelect an appropriate probability distribution for a context, with appropriate reasoning, including recognising when the binomial or Normal model may not be appropriate
Open Global Standard:OGM.13.PRB.3
OGM.13.PRB.3